| Fully supervised speaker diarization A Zhang, Q Wang, Z Zhu, J Paisley, C Wang ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 237 | 2019 |
| Stochastic variational inference for the HDP-HMM A Zhang, S Gultekin, J Paisley Artificial Intelligence and Statistics, 800-808, 2016 | 32 | 2016 |
| Sparse online topic models A Zhang, J Zhu, B Zhang Proceedings of the 22nd international conference on World Wide Web, 1489-1500, 2013 | 32 | 2013 |
| Vertical federated learning without revealing intersection membership J Sun, X Yang, Y Yao, A Zhang, W Gao, J Xie, C Wang arXiv preprint arXiv:2106.05508, 2021 | 24 | 2021 |
| Fully supervised speaker diarization C Wang, A Zhang, Q Wang, ZHU Zhenyao US Patent 11,031,017, 2021 | 22 | 2021 |
| Max-margin infinite hidden Markov models A Zhang, J Zhu, B Zhang International Conference on Machine Learning, 315-323, 2014 | 18 | 2014 |
| Sparse relational topic models for document networks A Zhang, J Zhu, B Zhang Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 17 | 2013 |
| Deep Bayesian nonparametric tracking A Zhang, J Paisley International conference on machine learning, 5833-5841, 2018 | 14 | 2018 |
| Markov mixed membership models A Zhang, J Paisley International Conference on Machine Learning, 475-483, 2015 | 14 | 2015 |
| Nonuniform negative sampling and log odds correction with rare events data HY Wang, A Zhang, C Wang Advances in Neural Information Processing Systems 34, 19847-19859, 2021 | 8 | 2021 |
| Asymptotic simulated annealing for variational inference S Gultekin, A Zhang, J Paisley 2018 IEEE Global Communications Conference (GLOBECOM), 1-7, 2018 | 5 | 2018 |
| Markov latent feature models A Zhang, J Paisley International Conference on Machine Learning, 1129-1137, 2016 | 3 | 2016 |
| Random function priors for correlation modeling A Zhang, J Paisley International Conference on Machine Learning, 7424-7433, 2019 | 2 | 2019 |
| Stochastic annealing for variational inference S Gultekin, A Zhang, J Paisley arXiv preprint arXiv:1505.06723, 2015 | 2 | 2015 |
| Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems X Chen, J Sun, T Wang, R Guo, LP Liu, A Zhang arXiv preprint arXiv:2305.16391, 2023 | 1 | 2023 |
| Fully supervised speaker diarization C Wang, A Zhang, Q Wang, ZHU Zhenyao US Patent 11,688,404, 2023 | | 2023 |
| Data subsampling for recommendation systems A Zhang, SUN Jiankai, R Guo, W Taiqing, X Chen US Patent App. 18/070,461, 2023 | | 2023 |
| Composing Deep Learning and Bayesian Nonparametric Methods A Zhang Columbia University, 2019 | | 2019 |
| Max-margin latent feature relational models for entity-attribute networks F Xia, N Chen, J Zhu, A Zhang, X Jin 2014 International Joint Conference on Neural Networks (IJCNN), 1667-1674, 2014 | | 2014 |
John PaisleyColumbia UniversityVerified email at columbia.edu
